thesis presents control methods and driver algorithms for BLDCM under variable load conditions from

heterogeneous network by using various cell selection algorithms with and without interference coordination

from bibliographic data of the same set of proceedings. Then, we applied link analysis algorithms HITS

between sites. Join operation optimization algorithms in distributed database system focus on reducing the

. We describe the algorithms, analyze their time and message complexities and measure their performance

behalf of any member in the cluster it represents. We show the operations of the algorithms, analyze

impulse response (CIR) estimation algorithms for communication systems which utilize a periodically

these algorithms have been implemented using the Python programming language. The model has been used to

computation-intensive applications with low-latency communication. Firstly, we propose user selection algorithms for

classifier with data augmentation, are beneficial for obtaining more generalizable learning algorithms. The

investigated. Two classification algorithms are applied with two different cross validation methods: For both

VDF time lock algorithms, depending on which one is chosen.